In this letter, we improve the class-based transform coding scheme proposed by Gelli and Poggi for the compression of multispectral images. The original spatial-coding tools, 1-D discrete cosine transform and scalar quantization, are replaced by shape-adaptive wavelet transform and set partitioning in hierarchical trees. Numerical experiments show that the improved technique outperforms the original one for medium- to high quality compression and is consistently superior to all reference techniques.
Improved class-based coding of multispectral images with shape-adaptive wavelet transform / M., Cagnazzo; S., Parrilli; Poggi, Giovanni; Verdoliva, Luisa. - In: IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. - ISSN 1545-598X. - STAMPA. - 4:4(2007), pp. 566-570.
Improved class-based coding of multispectral images with shape-adaptive wavelet transform
POGGI, GIOVANNI;VERDOLIVA, LUISA
2007
Abstract
In this letter, we improve the class-based transform coding scheme proposed by Gelli and Poggi for the compression of multispectral images. The original spatial-coding tools, 1-D discrete cosine transform and scalar quantization, are replaced by shape-adaptive wavelet transform and set partitioning in hierarchical trees. Numerical experiments show that the improved technique outperforms the original one for medium- to high quality compression and is consistently superior to all reference techniques.| File | Dimensione | Formato | |
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